





"""simple docstring"""







import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType




class __magic_name__   (       _lowerCAmelCase		):
       UpperCamelCase    :						List[Any]      =	['''image_processor''', '''tokenizer''']
       UpperCamelCase    :						List[Any]      =	'''ViltImageProcessor'''
       UpperCamelCase    :						str      =	('''BertTokenizer''', '''BertTokenizerFast''')
       def __init__(     self   ,  __magic_name__=None   ,  __magic_name__=None   ,  **__magic_name__	):





         """simple docstring"""


         _lowerCAmelCase	      =					None
         if "feature_extractor" in kwargs:
           warnings.warn(
               'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
               ' instead.'   ,  UpperCAmelCase_   ,  )
           _lowerCAmelCase	      =					kwargs.pop('feature_extractor'	)

         _lowerCAmelCase	      =					image_processor if image_processor is not None else feature_extractor
         if image_processor is None:
           raise ValueError('You need to specify an `image_processor`.'	)
         if tokenizer is None:
           raise ValueError('You need to specify a `tokenizer`.'	)

         super().__init__(UpperCAmelCase_   ,  UpperCAmelCase_	)
         _lowerCAmelCase	      =					self.image_processor
       def __call__(     self   ,  __magic_name__   ,  __magic_name__ = None   ,  __magic_name__ = True   ,  __magic_name__ = False   ,  __magic_name__ = None   ,  __magic_name__ = None   ,  __magic_name__ = 0   ,  __magic_name__ = None   ,  __magic_name__ = None   ,  __magic_name__ = None   ,  __magic_name__ = False   ,  __magic_name__ = False   ,  __magic_name__ = False   ,  __magic_name__ = False   ,  __magic_name__ = True   ,  __magic_name__ = None   ,  **__magic_name__   ,  ):





         """simple docstring"""


         _lowerCAmelCase	      =					self.tokenizer(
             text=UpperCAmelCase_   ,  add_special_tokens=UpperCAmelCase_   ,  padding=UpperCAmelCase_   ,  truncation=UpperCAmelCase_   ,  max_length=UpperCAmelCase_   ,  stride=UpperCAmelCase_   ,  pad_to_multiple_of=UpperCAmelCase_   ,  return_token_type_ids=UpperCAmelCase_   ,  return_attention_mask=UpperCAmelCase_   ,  return_overflowing_tokens=UpperCAmelCase_   ,  return_special_tokens_mask=UpperCAmelCase_   ,  return_offsets_mapping=UpperCAmelCase_   ,  return_length=UpperCAmelCase_   ,  verbose=UpperCAmelCase_   ,  return_tensors=UpperCAmelCase_   ,  **UpperCAmelCase_   ,  )
         # add pixel_values + pixel_mask
         _lowerCAmelCase	      =					self.image_processor(UpperCAmelCase_   ,  return_tensors=UpperCAmelCase_	)
         encoding.update(UpperCAmelCase_	)

         return encoding
       def 		_lowerCamelCase   (     self   ,  *__magic_name__   ,  **__magic_name__	):





         """simple docstring"""


         return self.tokenizer.batch_decode(*UpperCAmelCase_   ,  **UpperCAmelCase_	)
       def 		_lowerCamelCase   (     self   ,  *__magic_name__   ,  **__magic_name__	):





         """simple docstring"""


         return self.tokenizer.decode(*UpperCAmelCase_   ,  **UpperCAmelCase_	)
       @property
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         _lowerCAmelCase	      =					self.tokenizer.model_input_names
         _lowerCAmelCase	      =					self.image_processor.model_input_names
         return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names	)	)
       @property
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         warnings.warn(
             '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'   ,  UpperCAmelCase_   ,  )
         return self.image_processor_class
       @property
       def 		_lowerCamelCase   (     self	):





         """simple docstring"""


         warnings.warn(
             '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'   ,  UpperCAmelCase_   ,  )
         return self.image_processor





"""simple docstring"""


SCREAMING_SNAKE_CASE			  =  {}



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_		,   UpperCAmelCase_					)->				int:







       """simple docstring"""

       # if we are absent twice, or late 3 consecutive days,
       # no further prize strings are possible
       if late == 3 or absent == 2:
              return 0

       # if we have no days left, and have not failed any other rules,
       # we have a prize string
       if days == 0:
              return 1

       # No easy solution, so now we need to do the recursive calculation

       # First, check if the combination is already in the cache, and
       # if yes, return the stored value from there since we already
       # know the number of possible prize strings from this point on
       UpperCamelCase       			=		(days, absent, late)
       if key in cache:
              return cache[key]

       # now we calculate the three possible ways that can unfold from
       # this point on, depending on our attendance today

       # 1) if we are late (but not absent), the "absent" counter stays as
       # it is, but the "late" counter increases by one
       UpperCamelCase       			=		_calculate(days - 1		,   UpperCAmelCase_		,   late + 1					)

       # 2) if we are absent, the "absent" counter increases by 1, and the
       # "late" counter resets to 0
       UpperCamelCase       			=		_calculate(days - 1		,   absent + 1		,   0					)

       # 3) if we are on time, this resets the "late" counter and keeps the
       # absent counter
       UpperCamelCase       			=		_calculate(days - 1		,   UpperCAmelCase_		,   0					)

       UpperCamelCase       			=		state_late + state_absent + state_ontime

       UpperCamelCase       			=		prizestrings
       return prizestrings



def 						lowerCamelCase__      (				UpperCAmelCase_ = 30					)->				int:







       """simple docstring"""
       return _calculate(UpperCAmelCase_		,   absent=0		,   late=0					)


if __name__ == "__main__":
      print(solution())





